Assistant Runtime SDK

Python SDK for FAC Cloud — the AI assistant backend powering chat, streaming tool execution, memory, billing and workflows.

Features

• Sync and async clients — AssistantRuntimeClient (requests) or AsyncAssistantRuntimeClient (aiohttp)
• SSE streaming — real-time responses with live tool execution
• HMAC authentication — signed requests, no bearer tokens to leak
• Auto model selection — routing with cross-provider fallback
• Broad API coverage — chat, conversations, billing, memory, documents, workflows, users
• Full type hints — annotated throughout for IDE support

Installation

pip install assistant-runtime-sdk           # sync client
pip install "assistant-runtime-sdk[async]"  # with async support
pip install "assistant-runtime-sdk[all]"    # everything, including dev tools

Requires Python 3.10+.

The distribution is named assistant-runtime-sdk; the import name is assistant_runtime_sdk. PyPI normalises underscores to hyphens, so both spellings resolve on install.

Quick start

Sync client

from assistant_runtime_sdk import AssistantRuntimeClient

client = AssistantRuntimeClient(
    tenant_id="your-tenant-id",
    tenant_secret="your-secret",
    ar_url="https://api.fac-cloud.com",
)

models = client.list_available_models()
for model in models.get("models", []):
    print(f"{model['model_id']} - {model['display_name']}")

for event in client.stream_chat(
    session_id="session-123",
    message="What can you help me with?",
    user_id="user@example.com",
    model_id="auto",
):
    if event["event"] == "stream_chunk":
        print(event["data"].get("content", ""), end="", flush=True)
    elif event["event"] == "stream_complete":
        print(f"\n\nTokens used: {event['data'].get('tokens_used')}")

Async client

import asyncio
from assistant_runtime_sdk import AsyncAssistantRuntimeClient

async def main():
    async with AsyncAssistantRuntimeClient(
        tenant_id="your-tenant-id",
        tenant_secret="your-secret",
        ar_url="https://api.fac-cloud.com",
    ) as client:
        async for event in client.stream_chat(
            session_id="session-123",
            message="Hello!",
            user_id="user@example.com",
        ):
            if event["event"] == "stream_chunk":
                print(event["data"].get("content", ""), end="")

asyncio.run(main())

Custom logger

import logging
from assistant_runtime_sdk import AssistantRuntimeClient

logging.basicConfig(level=logging.DEBUG)

client = AssistantRuntimeClient(
    tenant_id="your-tenant-id",
    tenant_secret="your-secret",
    logger=logging.getLogger("my_app.assistant"),
)

SSE event types

API reference

AssistantRuntimeClient and AsyncAssistantRuntimeClient expose the same surface. A representative selection:

Chat — stream_chat(session_id, message, user_id, context=None, model_id=None, attachments=None, ...)

Models — list_available_models(), get_available_models(), set_preferred_model(model_id)

Tenant — get_tenant_info(), get_terms_status(), accept_terms(...), heartbeat()

Conversations — list_conversations(), get_conversation(), get_messages(), create_message(), update_conversation(), delete_conversation(), delete_message()

Billing — get_plan_comparison(), get_usage_dashboard(), get_usage_history(), get_credit_balance(), initiate_checkout(), create_hosted_checkout(), verify_checkout(), upgrade_plan(), cancel_subscription(), get_invoices(), get_payment_instrument(), update_payment_method()

Users & seats — register_user(), get_user(), list_users(), invite_user(), add_user_seat(), set_user_credit_limit(), get_user_auth_status()

MCP servers & tools — get_user_mcp_servers(), add_user_mcp_server(), update_mcp_server_tokens(), remove_user_mcp_server(), list_tools(), set_tool_preference()

Memory & documents — list_memories(), update_memory(), delete_memory(), upload_document(), list_documents(), get_document_content(), get_storage_info()

Workflows — list_workflows(), create_workflow(), execute_workflow(), list_workflow_runs(), set_workflow_schedule()

Support & feedback — create_ticket(), list_tickets(), get_ticket_thread(), reply_to_ticket(), upload_ticket_attachment(), submit_feedback(), list_feedback(user_id)

Prompts — list_prompts(user_id), get_prompt(prompt_name, arguments=None)

See docs/ for the full reference.

Standalone functions

from assistant_runtime_sdk import get_terms, register_tenant

terms = get_terms("https://api.fac-cloud.com")

result = register_tenant(
    ar_url="https://api.fac-cloud.com",
    site_url="https://mysite.example.com",
    owner_email="admin@example.com",
    application_id="your-application-id",
    terms_accepted=True,
    terms_version="1.0",
    accepted_by="admin@example.com",
)

Exceptions

from assistant_runtime_sdk import (
    ARError,                    # base exception
    ARAuthenticationError,      # HMAC signature rejected
    ARRateLimitError,           # rate limited (carries retry_after)
    ARStreamError,              # SSE streaming failure
    ARConfigurationError,       # invalid configuration
    ARConnectionError,          # transport failure
    ARTimeoutError,             # request timed out
    ARAPIError,                 # non-2xx API response
    ARBillingUnavailableError,  # billing companion not installed
)

Using it from a Frappe app

The SDK is plain Python with no Frappe dependency. To use it inside a Frappe application, wrap it in a thin adapter that supplies credentials and a logger:

import frappe
from assistant_runtime_sdk import AssistantRuntimeClient

class FrappeLogger:
    def error(self, msg, *args, **kwargs):
        frappe.log_error(msg, kwargs.get("category", "Assistant Runtime"))

def get_client(settings):
    return AssistantRuntimeClient(
        tenant_id=settings.tenant_id,
        tenant_secret=settings.get_password("tenant_secret"),
        ar_url=settings.ar_url,
        logger=FrappeLogger(),
    )

Releasing

See docs/guides/releasing.md.

License

GNU Affero General Public License v3.0

Copyright (C) 2025 Paul Clinton